Exponential growth of data and what it means for companies

"Information is a source of learning. But if it is organized, processed and made available to the right people in a format for decision making, is a burden, not an advantage." William Pollard

With the exponential growth of data collection and storage of data, we are experiencing the same dilemma. To counter the phenomenal growth of data storage continues to grow, IT budgets to increase the expansion rate of 60%, according to Dave Reinsel, program director, StorageSearch. As a company, managers and entrepreneurs, we all gather and store lots of data. Some information to facilitate your work is saved, so that people can work anytime, anywhere access. Some data such as e-mail messages are stored for legal reasons. Some data is stored for access by the user, as in the database with contact information. We also store your contracts, policies and procedures online, in the name of saving trees. If in fact the energy that can be used for data storagereal problem in question.

Data Collection Tools

What does this mean for companies?

Many see the growth coming as out of control. Rethink what is important and how to package information that has caused many organizations to consider other ways of doing business. Principles and procedures are designed by people who have never considered the impact of previous decisions. It will be one of the new solutions have an impact on comfort? Employees will be working at home yet in a position to accessto what they need to be productive?

The actual impact on the economy could be enormous, the costs and effectiveness of running a business. Specify a priority is something that should be considered in preparation for the future. Making terms for the purchase of equipment, project budgeting and reallocation of existing capacity are problems that companies face.

What does it mean for the environment?

Other technology companies talking greenSolutions. More scalable method of transmitting information is created each day. The world has become smaller because of the many ways we can communicate with each other, but also saves resources must start now. Data centers are smaller, but more will be able to manage because of the dynamic IT infrastructures in place.

What does this mean for consumers?

For daily use, probably benefit from a better service. As companies increase theirUnderstanding of the issues with which they have the solutions currently available to consumers, common. It will be something like the solutions offered to regular users of basic e-mail services available online. What is now taken for granted in the past paid services. (This e-mail capabilities, calendars, and ease of use)

Some additional costs incurred when companies ISPs distinguish between packages that start the public depending on user behavior. Not with an understanding ofThe effects can first understand the alleged poor service or bad service if consumers opt for cheaper packages too, but not when connected to their homes and all use the computer, the service is slow and tedious.

What it does, how business is done?

There is some good news from the study. Since the search for ways to cut costs for the storage of crops in control of large environments, have been commissioned by the industry to view itthe big picture. Mike Karp, senior analyst at EMA data on common experiences of the customers data to replace the following software: 1) to see a reduction of administrative burdens for the resolution, 2) reduction of protection failure rates of 30% to 5% 3) reduction of time to recover the data.

Companies are forced to start with data growth problems now. You're going to have to ask some serious questions, data management and data storageInitiatives, customers who serve the real needs and how they do business. Returning to quote William Pollard if the information is not used to find solutions to the dilemma is useless. Possible data growth is a problem, and that will affect everyone to find a solution that will allow us to move forward, continue.

Exponential growth of data and what it means for companies